Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman.
Jiarui FengLecheng KongHao LiuDacheng TaoFuhai LiMuhan ZhangYixin ChenPublished in: NeurIPS (2023)
Keyphrases
- design space
- neural network
- graph kernels
- design parameters
- design choices
- design process
- response surface
- design space exploration
- pattern recognition
- graph theory
- artificial neural networks
- search space
- back propagation
- weighted graph
- computer vision
- design solutions
- objective function
- technology enhanced learning
- graph databases
- graph mining
- graph structure
- directed graph
- database design